README.md

metadata

language: en
tags:
  - fill-mask

Environmental Impact (CODE CARBON DEFAULT)

Metric	Value
Duration (in seconds)	[More Information Needed]
Emissions (Co2eq in kg)	[More Information Needed]
CPU power (W)	[NO CPU]
GPU power (W)	[No GPU]
RAM power (W)	[More Information Needed]
CPU energy (kWh)	[No CPU]
GPU energy (kWh)	[No GPU]
RAM energy (kWh)	[More Information Needed]
Consumed energy (kWh)	[More Information Needed]
Country name	[More Information Needed]
Cloud provider	[No Cloud]
Cloud region	[No Cloud]
CPU count	[No CPU]
CPU model	[No CPU]
GPU count	[No GPU]
GPU model	[No GPU]

Environmental Impact (for one core)

Metric	Value
CPU energy (kWh)	[No CPU]
Emissions (Co2eq in kg)	[More Information Needed]

Note

20 May 2024

My Config

Config	Value
checkpoint	albert-base-v2
model_name	ft_bs64_1lr6_base_x8
sequence_length	400
num_epoch	20
learning_rate	1e-06
batch_size	64
weight_decay	0.0
warm_up_prop	0.0
drop_out_prob	0.1
packing_length	100
train_test_split	0.2
num_steps	108600

Training and Testing steps

Epoch	Train Loss	Test Loss	Accuracy	Recall
0	0.600790	0.530991	0.729750	0.803681
1	0.490914	0.515528	0.750368	0.937117
2	0.454214	0.454406	0.784242	0.837423
3	0.420142	0.442943	0.794551	0.891104
4	0.391595	0.418620	0.801915	0.854294
5	0.372766	0.409371	0.809278	0.808282
6	0.351249	0.411269	0.816642	0.884969
7	0.337517	0.410223	0.814433	0.897239
8	0.331506	0.397039	0.825479	0.881902
9	0.318005	0.416837	0.804124	0.730061
10	0.309892	0.406303	0.818115	0.907975
11	0.301596	0.390790	0.832106	0.840491
12	0.295900	0.391270	0.832842	0.865031
13	0.284800	0.392566	0.832106	0.860429
14	0.271658	0.397234	0.829897	0.823620
15	0.267081	0.404172	0.837261	0.883436
16	0.251110	0.409858	0.828424	0.823620
17	0.246977	0.409189	0.829161	0.852761
18	0.235927	0.413321	0.828424	0.838957